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Gartner defines process intelligence platforms as solutions that combine development and runtime software tools to mine, analyze, model, design, and monitor processes. They offer capabilities such as process and task mining, process modeling and designing, advanced process analysis, alerting, SLA and threshold-based tracking, anomaly detection, and interactive decision support by providing data about current processes and their conditions.
AI and process automation opportunity discovery: By analyzing task and process-level data, the platform can pinpoint bottlenecks, delays, governance issues, compliance gaps, and manual handoffs that are ideal candidates for task or process automation and AI augmentation. It can also identify redundant steps and resource constraints that contribute to process inefficiencies. This use case helps discover and design to-be workflows by providing prioritized opportunity lists with estimated ROI, enabling enterprises to accelerate automation initiatives and maximize operational efficiency. Furthermore, this use case extends to providing a business operations context to ground AI agents, ensuring alignment with organizational goals and compliance requirements.
Process improvement and optimization: This use case is essential for enterprises seeking to improve and optimize their operations by discovering, designing, modeling, and analyzing business processes. This enables end users to collaboratively redesign workflows (such as customer journeys, service delivery, or internal operations), leverage simulation capabilities to test future-state scenarios, and evaluate the impact of proposed changes. It also needs a centralized repository for storing process models, best practices, and improvement initiatives, enabling easy access, version control, and knowledge sharing across teams. Finally, through predictive and prescriptive analytics, users can identify optimal process improvements, anticipate outcomes, and make data-driven decisions that align with strategic objectives.
Governance, risk, and compliance: Monitoring of process executions against regulatory requirements and internal policies ensures visibility into compliance. Automated audits, conformance checks, and risk scoring highlight policy violations and control weaknesses, empowering stakeholders to mitigate risks, enforce governance standards, and maintain audit trails.
Bridging strategy to execution for digital transformation: This use case bridges the gap between strategic planning and daily operations by enabling data-driven actions. For example, when leadership sets a target customer satisfaction score, process intelligence tracks metrics such as response times and handoff delays, alerting teams to corrective steps and enabling process redesign where needed. If market data indicates a surge in demand, the platform simulates impacts across manufacturing and logistics, recommends adjustments, and updates roadmaps accordingly. By linking objectives, such as cost-to-serve reductions or quality improvements to key performance indicators (KPIs) and actionable triggers, organizations can ensure that every decision directly supports customer outcomes.
Operations intelligence: This use case leverages dashboards, SLA tracking, and anomaly detection to continuously monitor process performance. It alerts to surface imminent issues, such as delays or exceptions, while historical and predictive analytics guide rapid root-cause analysis.
Customer journey mapping: Capability to mine, model, and analyze client interactions, including sentiment analysis of customer feedback and touchpoints, to enhance insights and optimize the overall customer experience.
Simulation and optimization: Allow users to run “what if” scenarios (simulations) on the modeled processes by adjusting parameters like resources, costs, and cycle times. This helps identify and test potential bottlenecks and optimization opportunities before implementing changes in the real world.
Root cause analysis: Automatically detects deviations and bottlenecks in running processes, offering diagnostic insights, such as variant comparisons and conformance checks.
Process mining: Analysis of processes by extracting event data from information systems, offering automated discovery, conformance checking, and advanced process analytics.
Process modeling and design: Offering process modeling (as is) to understand, document, and analyze how a process currently works, and process design (to be) to create or re-create a business process to achieve specific performance goals, such as improved efficiency, reduced cost, or better quality.
Automated alerting: Integrated observability that triggers notifications via email or other platforms when predefined thresholds or SLA violations occur.
Performance and KPI reporting: Allow users to generate comprehensive reports and dashboards based on the process models, allowing for the analysis of KPIs like process costs, throughput times, and resource utilization. This provides a quantifiable basis for assessing efficiency and value.
Process monitoring: Observation and tracking of process execution, including SLA and threshold-based tracking, anomaly detection, and event stream processing.
Peer Lessons Learned for Process Intelligence Platforms
Published November 2025
These lessons focus on reviewers' responses to questions about their experience with products in this market, specifically: “If you could start over, what would your organization do differently?” and “What one piece of advice would you give other prospective customers?”
Celonis Process Intelligence Platform is a software that enables organizations to analyze, monitor, and optimize their business processes by leveraging data from underlying IT systems. The software applies process mining and automation capabilities to provide insights into process execution, identify inefficiencies, and reveal deviations from intended workflows. By connecting to source systems, the software visualizes end-to-end process flows, tracks key performance indicators, and uncovers bottlenecks or compliance issues. It also offers tools for automation, simulation, and scenario analysis to support data-driven process improvements. This software addresses the business problem of limited process visibility and helps organizations enhance operational efficiency and process reliability.
An AI-powered solution that helps organizations discover, model, analyze and improve business processes by creating a digital twin of operations. Uses a data-driven approach to provide clear insights into how processes function, addressing inefficiencies and gaps. Leveraging advanced process intelligence and AI-driven recommendations, it prioritizes impactful changes that align with strategic goals and drive better outcomes.
The interface simplifies process analysis and modeling, making it accessible to all users. Features like continuous monitoring, automated alerts, and KPI tracking help maintain efficiency and compliance, keeping businesses in control of their transformation efforts. Designed to eliminate complexity, IBM Process Mining drives continuous improvement, transforming operations through actionable insights that deliver measurable results.
UiPath is the Agentic Business Orchestration platform: a single enterprise control plane that coordinates end-to-end processes across AI agents, robots, people, documents, and applications. Unlike point automation tools that execute isolated tasks, UiPath manages the full process lifecycle: maintaining state across long-running workflows, handling dynamic cases with built-in exception management, and orchestrating multiple agents, regardless of where they were built, under a unified governance layer. This is what turns AI potential into reliable, measurable business execution. UiPath delivers this through a unified low-code/pro-code builder environment with natively integrated document understanding, enterprise-grade testing, and unmatched deployment flexibility across cloud and on-premises, so enterprises can scale agentic automation with the speed, safety, and control that production demands.
SAP Signavio Process Intelligence empowers organizations to deeply analyze and continuously monitor how their business processes actually run by turning enterprise system data into actionable insights. With powerful process mining capabilities—including root cause analysis—it visualizes end‑to‑end process flows, exposes inefficiencies, and uncovers bottlenecks and deviations. AI‑driven features such as intuitive dashboards, advanced analytics, and automated improvement recommendations accelerate informed decision‑making and helps users to adopt. By integrating data from multiple sources, SAP Signavio enables ongoing optimization, compliance, and operational excellence through fact‑based analysis. Equipped with robust tools to assess performance against defined targets, SAP Signavio Process Intelligence helps businesses boost efficiency, reduce complexity, and drive meaningful, data‑driven improvements across the organization.
Power Automate is a software that enables users to streamline workflows and automate repetitive tasks across applications and services. The software provides tools for creating automated processes, integrating with various platforms such as cloud-based and on-premises solutions, and connecting data sources. It supports features like triggering actions based on events, managing approvals, and transforming data between systems. Power Automate addresses business challenges related to manual task management and process efficiency by facilitating automation of operations, reducing errors, and improving productivity through seamless connectivity among software solutions.
ARIS is a software designed for business process management and analysis, supporting organizations in mapping, analyzing, optimizing and monitoring their business processes. The software provides tools for modeling business processes, capturing process data, and enabling transparency across organizational workflows. Features include process design, collaboration, governance, risk and compliance management, and performance measurement. ARIS enables businesses to identify inefficiencies, support compliance requirements, and drive continuous process improvement by providing centralized access to process documentation and analysis capabilities. The software addresses challenges related to process complexity, change management, and digital transformation within organizations.
ABBYY Timeline software enables organizations to analyze and visualize business process data through process intelligence capabilities. It allows users to import data from various systems and automatically create process maps, providing insights into how processes are executed over time. The software offers features for monitoring, discovering inefficiencies, and identifying bottlenecks to help improve operational performance. Advanced analytics and root cause analysis tools are included to support continuous process optimization. ABBYY Timeline aids in compliance, risk management, and business decision-making by offering an objective view of process execution across different departments and systems.
ServiceNow Process Mining is a software designed to enable organizations to analyze and visualize their business processes using data from their digital workflows. The software helps identify process bottlenecks, inefficiencies, and compliance issues by providing detailed process maps and performance metrics. It allows users to compare current processes with intended workflows to highlight deviations and improvement opportunities. ServiceNow Process Mining integrates with existing systems to gather event data, offering insight into root causes of process delays and facilitating data-driven decision-making. The software aims to optimize operations and support process transformation initiatives by delivering actionable information on workflow execution across the enterprise.
The iGrafx Process360 Live platform empowers organizations with advanced process mining capabilities, enabling them to gain insights into and optimize their operational workflows. Designed to help organizations discover, design, and optimize processes, the platform reveals inefficiencies, bottlenecks, and improvement opportunities. A distinguishing feature is Concurrency, which visualizes parallel activities and simplifies process variants into a single, representative model, enhancing accuracy and reducing computational costs. Central to the platform is the AI-enabled Process Repository, which fosters collaboration, breaks down silos, and manages critical interdependencies among processes. iGrafx Process360 Live provides actionable intelligence including predictive analytics that drive compliance, efficiency, and ongoing process improvements across complex operations.
Scout is our enterprise platform for understanding how work is actually executed across teams, workflows, and technology environments. Powered by TribeScope, a proprietary foundational model, Scout builds a work graph from digital interaction data to help organizations understand execution patterns, identify friction, improve operational performance, strengthen system adoption, and support automation and agentic initiatives. Scout also helps enterprises understand how human work and agent-driven work come together in real operating environments, so teams can design and manage agentic workflows with better context and control.
Skan Process Intelligence Platform is a software designed to provide visibility into business process execution by capturing, analyzing, and interpreting digital interactions within enterprise systems. The software uses technology to observe real work as it happens across applications, enabling organizations to map current processes without the need for manual intervention or user input. The software helps in identifying process variations, bottlenecks, and inefficiencies by transforming collected data into process maps and insights. Businesses use this software to enhance operational transparency, support process improvement initiatives, and drive automation decisions by providing factual and detailed process analysis.
The Apromore process mining platform is a savvy blend of intuitive design and advanced functionality resting on top of a robust open-source engine built by the top experts in the field of process mining since 2009. Our recipe for unlocking value from transactional data in business applications is to offer robust functionality in a no code platform with seamless connections to a variety of data sources. The easy to use interface empowers business users to improve processes using advanced simulation capabilities without reliance on IT or data scientists.
Predictive Process Monitoring helps boost process performance with predictions to prevent roadblocks and SLA violations, and enhance customer experience.
Digital Twin capabilities help users create successful transformation using digital twin models providing a high degree of transparency into existing processes and the ability to evolve models as business situations change.
Appian is a software company that automates business processes. The Appian AI Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences.
mindzie provides AI-Driven business process mining and automation. The platform leverages large language model AI to help companies map, analyze, and automate business processes using natural language, reducing waste and increasing efficiency. It enables process improvement experts and business users to gain process insights by asking business questions. With out-of-the-box system connectors, automated actions, analysis templates, root cause identification, and Predictive AI; mindzie enables businesses to quickly go from interest to insight to action.
mpmX Platform is a software designed to facilitate project portfolio management through integrated modules that support strategic alignment, resource planning, financial tracking, and performance analysis. The software enables organizations to centralize and manage multiple projects by providing tools for risk assessment, document management, timeline visualization, and stakeholder collaboration. It addresses business needs such as improving decision-making, optimizing resource allocation, and maintaining transparency across project lifecycles. The platform includes features for reporting, workflow automation, and compliance support, assisting businesses in executing projects according to defined goals and regulatory requirements. mpmX Platform supports cross-functional project teams by offering a unified environment for communication, monitoring, and continuous improvement.
Cyclone's Process Intelligence utilizes process mining techniques to transform business data into insights, visually presenting real-life business scenarios. It provides insights for process monitoring, optimization, and automation, helping enterprises reduce costs, increase efficiency, and ensure compliance.
Datricks is a software designed to automate and streamline audit and risk assessment processes within organizations. The software utilizes advanced analytics and artificial intelligence to analyze large volumes of transactional and financial data, helping users identify anomalies, patterns, and areas of potential risk. Datricks assists audit and compliance teams by delivering data-driven insights that support internal controls and decision-making processes while reducing the manual effort involved in traditional audits. The software provides visualization tools and customizable dashboards to facilitate understanding of complex data sets and assists organizations in meeting regulatory requirements. Datricks aims to improve accuracy and efficiency in tracking and managing risk across business operations.
Decisions Platform is a software designed to automate business processes, manage workflows, and facilitate rules-driven decision-making within organizations. The software provides tools for building and maintaining process automation, business rules, forms, and dashboards without coding requirements. It enables users to model, test, and deploy complex logic and data workflows in various industries, supporting integration with other systems to streamline operations. The software addresses the need for process improvement, compliance, and operational efficiency by allowing organizations to adapt and optimize changing business rules and workflow requirements.
Pega Process Mining works with the Pega Platform to empower both business and IT Pega application owners to truly understand where their key process optimization and automation opportunities lie. With Process Mining and the Pega Platform, you get an easy-to-use solution for rooting out process inefficiencies and implementing optimization initiatives, all within a single, seamless solution.
BusinessOptix Process Mining tools help you discover insights into the inner workings of your business; bringing transparency to where people, processes and technology are being utilized, & pinpointing where & how improvements can be made to reduce costs, improve productivity, & elevate customer experiences across the organization.
The tools provide use of the Process Analysis Notebook which expedites the discovery & analysis of processes gained from log files from your business systems or from other mining tools. The Notebook allows for rapid creation of business process maps with metrics & other useful insights. Other process activities can be added to the Notebook to create an end-to-end view for transparency and deeper analysis.
Organizations use BusinessOptix process mining capabilities alongside our other intelligent process discovery capabilities, to build up an end-to-end, data-driven business process repository with full audit trail, analytical and reporting proficiencies.